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Rewards Analytics and Distribution Dashboard for Quantification Review¶

This document processes the outputs of the praise reward system and performs an analysis of the resulting token reward distribution.

Out[6]:

Distribution report for round-49

  • This period covers praise given between 2024-12-02 and 2024-12-31.
  • We allocated a total of 82650.0 TEC tokens for rewards.
  • Duplicate praise received a weighting of 0.1 the value of the original praise.
  • We assigned 3 quantifiers per praise instance.
  • Praise receiver names were not hidden behind pseudonyms during quantification

Praise Data Visualization¶

Rating distribution¶

Since praise gets valued on a scale, we can take a look at how often each value of the scale gets assigned by quantifiers. Note: This metric disregards scores of praise marked as a duplicate, since the score of the original is already being taken into account.

Top 10 highest rated contributions¶

The ten highest rated contributions for this round were the following:

Out[9]:
Avg. score To Reason
144.0 oyealmond#0 dishing holiday praise to Almond for her amazing social media work this year and especially as the year comes to a close. The end of the year campaigns, the numbers reporting & celebration was all so festive and fun and brought such awesome holiday vibes, and I felt like she just made it happen mostly herself!! Almond is a powerhouse of a comms lead, and keeps so much afloat at Giveth, I'm so grateful for her
107.333333333333 oyealmond#0 for being a real comms star with the way she's stewarding comms and regular calls - being on top of everything that happens in the space and beyond! For presenting some cool data, dapp analytics, and stats, which was really interesting to see, but wait - then she produced an absolutely stunning yearly recap blog full of great content I can't wait to read!
89.0 Amin#2164 dishing holiday praise to Amin - an incredible developer, teacher, mentor and friend. He is the person I go to for all weird nuanced thing in the GIVeconomy and figures out solutions to prolems like no one else can. He explains thing in a way that I find so clear and concise, he is super generous with sharing knowlegde and I am sooo glad to have him on the team (I missed him so much when he wasn't here too!)
77.6666666666667 griffgreen#0 dishing holiday praise for bringing Giveth to all corners of the ecosystem, being the greatest cheerleader of Giveth's values and constantly trying to find ways to make Giveth more succesful. He IS Giveth's OG founder and the primary financial supporter to keep the organization running. Griff also is a thoughtful leader and does his best to manage so many things and provide opportunities for growth and personal sucess to so many of the diverse contributors at Giveth
77.6666666666667 griffgreen#0 for being the Santa that he is 🎅🏼🎅🏼🎅🏼 buying $GIV tokens to pay for Giveth contributor salaries in stable so they won't have the pressure of receiving GIV and selling it to pay for bills. THE TRUE SANTA!!
70.6666666666667 oyealmond#0 for jumping in wherever they could to help with q/acc - from learning the tech to answer support questions, to figuring out the comms so we could amplify the messages through Giveth - it's been so great to have you all jump in to rally!
69.0 oyealmond#0 Thank you friends for taking the time to give me your feedback, it puts a smile on my face to feel your love and reflections and to read your feedback. It feeds my motivation and desire for growth as well as my passion to show up as best as I can for my teams.
62.0 oyealmond#0 for always jumping in with super quick and helpful feedback on my newsletter drafts. You make everything so much easier and keep things moving smoothly so we can publish on time.
60.3333333333333 freshelle doing all that she does for the Giveth and GM month on month. Her work behind the scenes; ensuring timely payments, fund management, and navigating uncertainties is no easy feat. I am very very fortunate to work alongside her.
59.3333333333333 NicoBals#2154 for hosting the MGFA morning event, it was refreshing and very fun! def joining early for the next one ✨

Praise Reward Distribution¶

We can now take a look at the distribution of the received praise rewards. You can toggle the inclusion of the different sources by clicking on the legend.

Praise Giving Distribution¶

We can also take a look at the amount of praise different users gave.

Praise Flows¶

Now for something more fun: let's surface the top "praise flows" from the data. Thanks to @inventandchill for this awesome visualization! On one side we have the top 15 praise givers separately, on the other the top 25 receivers. The people outside the selection get aggregated into the "REST FROM" and "REST TO" categories.

Out[13]:

Quantifier Data¶

Now let's take a closer look at the quantification process and the quantifiers:

Praise Outliers¶

To aid the revision process, we highlight disagreements between quantifiers.

Outliers sort by spreads¶

This graphic visualizes controversial praise ratings by sorting them by the "spread" between the highest and lowest received score.

Please keep in mind that this is a visual aid. If there are several praise instances with similar spread and quant score, all but one end up "hidden" on the chart. For an exhaustive list, take a look at the exported file "praise_outliers.csv" .

Praise score by quantifier -- outliers among the quantifiers?¶

Let's see how different quantifiers behaved by showing the range of praise scores they gave.

To interpret the box plot:

  • Bottom horizontal line of box plot is minimum value

  • First horizontal line of rectangle shape of box plot is First quartile or 25%

  • Second horizontal line of rectangle shape of box plot is Second quartile or 50% or median.

  • Third horizontal line of rectangle shape of box plot is third quartile or 75%

  • Top horizontal line of rectangle shape of box plot is maximum value.

Score displacement: tendency to under/over-scoring?¶

Scoring correlation: how similiar am I scoring with others?¶

Agreement on duplication¶

Out[22]:

Among 285 praises, 32 (11.23%) do not agree on duplication

Praise instances with disagreements in duplication are collected in 'results/duplication_examination.csv'. To compare, look at the last 4 columns: 'DUPLICATE MSG 1/2/3' and 'ORIGINAL MSG'.

Agreement on dismissal¶

Out[25]:

Among 285 praises, 8 (2.81%) do not agree on dismissal

Praise instances with disagreements in dismissal are collected in'results/dismissal_disaggreed.csv'. You can further look into who dismissed and who did not.